Scrum Master

Internship Title: Website Operations Intern

Description:

The Website Operations Intern will be responsible for managing the day-to-day operations of the CityHangAround platform. The intern will support website management activities including reviewing business listings, organizing categories, monitoring customer orders, and ensuring the platform runs smoothly. This role requires attention to detail, coordination with internal teams, and maintaining accurate information on the website.

Key Responsibilities:

• Review and approve business listings on the CityHangAround website
• Manage and update category listings on the platform
• Monitor and track customer orders on the website
• Ensure listings and information on the platform are accurate and updated
• Coordinate with internal teams for listing updates and issue resolution
• Assist in maintaining smooth daily operations of the website

Senior Data Engineer

Pls apply here:

tinyurl [dot] com/ysk8w2eu

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

• Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.
• First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.
• Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Team

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, Plaid, and Coinbase; developed self-driving car systems at Aurora; and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

Own the data infrastructure behind automated reporting, AI visibility monitoring, competitive intelligence, and proactive alerting across a growing multi-tenant client base.

The hard problem is operational complexity, less so petabyte scale volume. Many clients, each with multiple data sources, different schemas, different API rate limits, different failure modes, different freshness requirements. When one breaks, it can't take down everyone else. Fault isolation, graceful degradation, and per-tenant reliability are built in from the start.

This is largely greenfield. You'll be building out monitoring, observability, data quality layers and pipeline orchestration.

You report to the CTO and work closely with product engineers who build the features that consume your data layer. You'll define interfaces and data contracts together. There's no platform team. You own your infrastructure, your CI, and your monitoring.

What You'll Do

• Multi-tenant data infrastructure. Ingestion, validation, and transformation across multiple data sources. Fault isolation, schema variation, and graceful upstream failure handling.
• Third-party API integration. Most of our data comes from external APIs with their own auth flows, rate limits, pagination quirks, and breaking changes. You'll build robust, resilient connectors that handle all of this gracefully across many client accounts.
• Data quality systems. Automated checks on distributions, volumes, null rates, and freshness. Statistical validation, not just schema validation. Bad data doesn't make it downstream.
• Data observability. Freshness monitoring, volume anomaly detection, schema drift detection, lineage tracking, blast radius analysis. You know the difference between "the code ran" and "the data is correct."
• Alerting design. Not just dashboards. Threshold tuning, noise reduction, avoiding alert fatigue. Mean time to detection is a core metric for this role.
• Freshness SLAs. Define them per source, build infrastructure to meet them, alert before they breach.
• Event-driven trigger infrastructure. Surface performance changes, quality regressions, and freshness violations as events for downstream systems.
• Entity data models. Design schemas for client, competitor, and content entities. Own schema evolution and backward compatibility.
• Operational environment. CI/CD, containers, deployment pipelines, credential management. Every deploy passes CI before production.

The Ideal Person for This Role

• A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built data infrastructure people actually rely on.
• An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once.
• An owner. You take responsibility for outcomes, not just tasks. When a pipeline you built breaks at 3am, you fix it and make sure it doesn't break again.
• Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.
• A first-principles thinker. You understand why things work, not just how. You can go five levels deep on schema decisions, validation strategies, and architecture tradeoffs.
• Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

• 4+ years in data engineering, platform engineering, or infrastructure-heavy backend work.
• Python, SQL, pipeline orchestration (Airflow, Dagster, Prefect, or similar).
• Event-driven architectures or real-time data processing.
• Third-party API integration. You've built resilient connectors against external APIs with rate limits, auth flows, pagination, and breaking changes. Not just calling endpoints, but handling the full operational reality.
• Pipeline fundamentals. Idempotent pipelines, backfill strategies, and schema evolution handled gracefully in production.
• Data quality systems in production. Automated checks on distributions, volumes, freshness, null rates. Not a one-off notebook.
• Data observability. Freshness monitoring, anomaly detection, lineage tracking, blast radius analysis.
• Alerting design. Threshold tuning, noise reduction, escalation paths. You've thought about false positives as much as missed detections.
• Own your infrastructure. Containers, CI/CD, deployment pipelines, monitoring, credential management. No platform team to hand off to.
• Multi-tenant or multi-client data systems. Tenant isolation, per-client configuration, and operational overhead at scale.
• APIs or service layers for data exposure. You've built interfaces that other systems consume, not just internal scripts.
• Collaborative. You'll work closely with product engineers to define data contracts and interfaces. You communicate tradeoffs clearly in writing. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Experience with marketing or analytics data (GA4, GSC, SEO tools)
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Take-Home Project
3. Technical Deep Dive
4. Leadership Interview
5. Reference Checks

Pls apply here:

tinyurl [dot] com/ysk8w2eu

Background:

· Bachelor’s Degree: In Computer Science, Information Technology, or a related field.

· 5+ years of experience as a NetSuite Administrator/Developer in a relevant industry

· Previous experience and ability to gather business requirements and effectively implement an ERP, CRM, & PSA solutions

· Previous industry/functional experience in Financials, Accounting, Manufacturing, Software, Wholesale Distribution, Services, Retail, Enterprise, General Business

Job Role - Shopify Developer

Responsibilities

 Create an engaging and knowledgeable online Shopify store to increase sales and revenue

 Create bespoke Shopify themes and change pre-existing templates per pre-defined brand

guidelines

 Be an expert in all aspects of the ECommerce platform

 Work with the UX and UI Design Teams to create unique, strong, and inventive front-end user

experiences

 Ensure a smooth connection with Marketing Tools, Platform APIs, and Shopify Apps to optimise

the shop for overall efficiency and functionality

 Test and debug websites regularly to improve performance

 Based on their findings, they provide technical support and coordination, protecting enterprises

against failure

 Increase conversion rates by optimising website

Requirements & Skills

 A bachelor's degree in information technology, computer science, or a related discipline

 Broad shop construction, launch, and maintenance expertise, as well as a general understanding

of the admin system

 Proven skills in HTML5, CSS3, and JavaScript, as well as a thorough grasp of the DOM

 Previous experience working with a custom theme and/or the Storefront API

 Working knowledge of Shopify's theming system and Liquid templating

 Previous experience implementing/debugging third-party Shopify apps, as well as building

unique solutions if needed

 In-depth knowledge and expertise with vanilla JavaScript, jQuery, ES2015/ES6, and current

JavaScript frameworks

 Working knowledge of Shopify's object/properties, AJAX API, and Meta fields

 Extensive testing and debugging abilities using the browser console and other tools

 Prior experience developing responsive layouts for desktop, tablet, and mobile devices

 Working knowledge of third-party services and APIs, as well as Shopify plugins

•  Capability to communicate effectively and provide proactive feedback

Responsibilities:

1. Create detailed and accurate mechanical drawings based on project requirements.

2. Collaborate with engineers and project managers to understand design specifications and translate them into technical drawings.

3. Ensure compliance with relevant design codes and standards in the creation of mechanical drawings.

4. Utilize various software tools for drafting and design, demonstrating proficiency in industry-standard software.

5. Prepare and maintain documentation related to mechanical designs, revisions, and updates.

6. Participate in design review meetings to address any issues and incorporate feedback into drawings.

7. Stay abreast of industry trends, standards, and technological advancements to enhance drafting capabilities.

Job Responsibilities:

Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support

Skills Required:

DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript

Job Description-

Backend Developer- Senior

Experience - 3-6 years

Location: Pune/Kota

Minimum Qualifications:

- BE/B.Tech or ME/M.Tech in Computer Science.

- Must have “Can Do Attitude” towards work

- Must have work exp of 3-6 years

- Must have programming exp of 1-2 years in any of Python/Golang/Java languages

- Must have worked in product based company

- Ready to work in a startup and adaptable to a dynamic environment

- Ready to accept ad-hoc requirements and track them till they get implemented

- Ready to learn new technologies like Andriod, Angular, etc.

- Good at HTTP basics, OOPs concepts, data structures, algorithms, networking and

security aspects

- Ability to write clean code and maintain it

- Good at SQL/No-SQL databases

Preferred Qualifications:

- Experience in any good product based startup

- Experience in working with the team and managing a small team of 2-5 associates

- Experience in being a mentor for co-developers

- Experience in design/developing scalable systems.

- Experience in public cloud platforms services/APIs of AWS, Google Cloud, etc.

- Experience in data engineering

- Experience in SOA/Microservice architecture development

Responsibilities:

- Design and develop scalable services and APIs in Python/Golang

- Always maintain the services secure

- Should optimize APIs for mobile data and apps

- Use off-the-shelf and state-of-the-art services for faster development of product

- Guide team members with designs

- Take the end to end ownership of features and resolve customer issues on priority

- Mentor/guide/monitor junior developer

- Expertise Android/Angular to the required extent and guide app developers while

designing APIs

Opportunities in the role:

- LearnAngular, Python, Node.js, Golang, ELK stack, MEAN/MERN

- Work on AWS, Azure, Google Cloud Platform

- Work on databases like RDS, MongoDB, Big Table & DynamoDB, Redis, Aerospike

- Experience with SQL/ NoSQL Databases (RDS, DynamoDB, Google Datastore, Redis)

- Experience with ELK stack.

- Fast prototyping of proof-of concept features/application based on a brief

- Work on data engineering